Korean physical therapist turns language barrier into three-stage AI pipeline

Short summary

A Korean physical therapist describes how their English language barrier forced them to use AI beyond simple translation—evolving into a three-stage pipeline: translate, mine for applicable lessons, and apply changes to their own systems. The friction of needing AI for every post became the catalyst for deeper, more practical AI usage. The piece argues that constraints can create better tool adoption than fluency would.

• •Language barrier forced deeper AI usage beyond translation into idea extraction and application
• •Three-stage AI pipeline: translate → mine for relevance → apply to own systems
• •Constraints (like language friction) can be an on-ramp to better AI tool adoption

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